Convolution Layer

Other

This node adds a Convolutional layer to the Deep Learning Model supplied by the input port. The layer performs convolution of the inputs (usually images) using a user defined number of convolution kernels.

Input Ports

  1. Type: DL4J Model
    The model which will be extended by this layer.

Output Ports

  1. Type: DL4J Model
    The model from the input port additionally containing this layer.

  1. Example of a simple Convolutional Network

    deeplearning machine learning classification neural networks convolutional
    This workflow shows how to create a simple convolutional network and use it for image classification.
    Users > shima0011 > 04_Analytics > 14_Deep_Learning > 01_DL4J

  2. Simple Anomaly Detection Using a Convolutional Network

    deeplearning machine learning anomaly detection neural networks convolutional
    This workflow shows how to do anomaly detection of the MNIST dataset using a convolutional network.
    Users > knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J

  3. Basic Concepts of Deeplearning4J Integration

    deeplearning machine learning neural networks
    This workflow shows basic concepts of the KNIME Deeplearning4J Integration.
    Users > knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J

  4. Example of a simple Convolutional Network

    deeplearning machine learning classification neural networks convolutional
    This workflow shows how to create a simple convolutional network and use it for image classification.
    Users > knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J

  5. Font Detection Using A Convolutional Net

    deeplearning machine learning classification neural networks convolutional
    This workflow shows an example of how to detect the fonts of letters using a convolutional network.
    Users > knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J

  6. Font Detection Using A Convolutional Net

    deeplearning machine learning classification neural networks convolutional
    This workflow shows an example of how to detect the fonts of letters using a convolutional network.
    Users > shima0011 > 04_Analytics > 14_Deep_Learning > 01_DL4J

  7. Celebrity Recognition Using AlexNet

    deeplearning machine learning classification neural networks convolutional AlexNet
    This workflow shows an example of image classification of celebrity faces using AlexNet.
    Users > knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J

  8. Classifying handwritten digits using KNIME, DL4J and a LeNet variant

    deep learning GPU image classification digit recognition Le Net
    The workflow downloads, uncompresses and preprocesses the orignal MNIST dataset from: http://yann.lecun.com/exdb/mnist/ …
    Users > knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 14_DeepLearningTutorial_MNIST

  9. Classifying handwritten digits using KNIME, DL4J and a LeNet variant

    deep learning GPU image classification digit recognition Le Net
    The workflow downloads, uncompresses and preprocesses the orignal MNIST dataset from: http://yann.lecun.com/exdb/mnist/ …
    Users > shima0011 > 04_Analytics > 14_Deep_Learning > 01_DL4J > 14_DeepLearningTutorial_MNIST

  10. Basic Concepts of Deeplearning4J Integration

    deeplearning machine learning neural networks
    This workflow shows basic concepts of the KNIME Deeplearning4J Integration.
    Users > shima0011 > 04_Analytics > 14_Deep_Learning > 01_DL4J

Extension

This node is part of the extension

KNIME Deeplearning4J Integration (64bit only)

 v4.0.0

Short Link

Drag node into KNIME Analytics Platform